• DocumentCode
    2292110
  • Title

    Exponential stabilization of neutral-type neural networks with interval non-differentiable and distributed time-varying delays

  • Author

    Weera, Wajaree ; Niamsup, Piyapong

  • Author_Institution
    Dept. of Math., Chiang Mai Univ., Chiang Mai, Thailand
  • fYear
    2012
  • fDate
    6-8 July 2012
  • Firstpage
    1293
  • Lastpage
    1298
  • Abstract
    In this paper, the problem of exponential stabilization of neutral-type neural networks with various activation functions and interval non-differentiable and distributed time-varying delays is considered. The interval time-varying delay function is not necessary to be differentiable. By constructing a set of improved Lyapunov-Krasovskii functional combined with Leibniz-Newton´s formula, the proposed stability criteria are formulated in the form of a linear matrix inequalities. Numerical example illustrates the effectiveness of the results.
  • Keywords
    asymptotic stability; delays; linear matrix inequalities; neural nets; time-varying systems; Leibniz-Newton formula; Lyapunov-Krasovskii functional; activation function; distributed time varying delays; exponential stabilization; interval time varying delay function; linear matrix inequalities; neutral type neural networks; nondifferentiable time varying delays; stability criteria; Delay; Delay effects; Neural networks; Numerical stability; Stability criteria; Symmetric matrices; Distributed delays; Exponential stabilization; Interval time-varying delays; Neutral-type neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2012 10th World Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1397-1
  • Type

    conf

  • DOI
    10.1109/WCICA.2012.6358080
  • Filename
    6358080